Yan Wang

Orcid: 0000-0002-7398-5854

Affiliations:
  • Cornell University, Department of Computer Science, Ithaca, NY, USA


According to our database1, Yan Wang authored at least 25 papers between 2018 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
VILA<sup>2</sup>: VILA Augmented VILA.
CoRR, 2024

DiffuBox: Refining 3D Object Detection with Point Diffusion.
CoRR, 2024

Language-Image Models with 3D Understanding.
CoRR, 2024

Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2022
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Fixed Neural Network Steganography: Train the images, not the network.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Pseudo-LiDAR: Camera-based 3D object detection for autonomous driving.
PhD thesis, 2021

Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection.
CoRR, 2021

PLUME: Efficient 3D Object Detection from Stereo Images.
CoRR, 2021

PLUMENet: Efficient 3D Object Detection from Stereo Images.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Spatial-Temporal Graph Neural Network For Interaction-Aware Vehicle Trajectory Prediction.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020
MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation.
CoRR, 2020

Wasserstein Distances for Stereo Disparity Estimation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving.
Proceedings of the 8th International Conference on Learning Representations, 2020

Train in Germany, Test in the USA: Making 3D Object Detectors Generalize.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images.
IEEE Robotics Autom. Lett., 2019

SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning.
CoRR, 2019

Anytime Stereo Image Depth Estimation on Mobile Devices.
Proceedings of the International Conference on Robotics and Automation, 2019

Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Vision-only 3D Tracking for Self-Driving Cars.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking.
CoRR, 2018

Resource Aware Person Re-Identification Across Multiple Resolutions.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018


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